西安石油大学学报（社会科学版）2026，Vol.35Issue(4)：71-81,11.
国家新一代人工智能创新发展试验区政策能否提升碳生产率?
Can the Policy of the National New-Generation Artificial Intelligence Innovation and Development Pilot Zone Enhance Carbon Productivity?
摘要
Abstract
Artificial intelligence is an important force driving the improvement of energy efficiency and the precise management of carbon emissions,and achieving the goals of"carbon peak and carbon neutrality".Based on panel data from 31 provinces of China from 2013 to 2023,the national new generation artificial intel-ligence innovation and development pilot zones were used as quasi-natural experiments to construct a differ-ence-in-differences model so as to explore the impact effect and mechanism of artificial intelligence on carbon productivity.The study found:(1)The pilot artificial intelligence policy significantly has improved carbon pro-ductivity,and this conclusion remaines valid after a series of robustness tests.(2)From the perspective of the mechanism,artificial intelligence has enhanced carbon productivity by promoting innovation capabilities;an in-crease in the intensity of environmental regulations can positively moderate the promoting effect of artificial in-telligence on carbon productivity.(3)From the heterogeneity analysis,it can be known that the promoting effect of artificial intelligence on carbon productivity is more obvious on the southeast side of the Hu Huanyong Line and in highly digitalized areas.(4)The threshold test reveals that the industrial structure has a single threshold effect on carbon productivity.The threshold value is 1.425.When the industrial structure exceeds this threshold,the impact of artificial intelligence on carbon productivity is significantly positive.关键词
人工智能/碳生产率/双重差分模型/门槛效应Key words
artificial intelligence/carbon productivity/difference-in-differences model/threshold effect分类
管理科学引用本文复制引用
张优智,张宇..国家新一代人工智能创新发展试验区政策能否提升碳生产率?[J].西安石油大学学报（社会科学版）,2026,35(4):71-81,11.基金项目
陕西省社会科学基金项目"数字经济驱动陕西传统制造业转型升级的机制、效应与政策研究"(2023D044) （2023D044）
西安石油大学教育教学改革研究项目"基于'思政引领+AI赋能'的人力资源管理专业人才培养模式创新与实践研究"(JGYB202518) （JGYB202518）
西安石油大学研究生创新与实践能力培养计划资助项目"数实融合对西安先进制造业高质量发展的影响研究"(YCX2523020). （YCX2523020）
